Jan Kvetny
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Physiology
- Pathology and Forensic Medicine
- Endocrine and Autonomic Systems top 10%
- Co-authors
- Jørgen GramElse‐Marie BladbjergChristina EllervikLouise Hauge MatzenPalle PedersenE. W. JensenJens FaberAnne Jarløv
- Topics
- Thyroid Disorders and Treatments (34 papers)Growth Hormone and Insulin-like Growth Factors (13 papers)Metabolism, Diabetes, and Cancer (6 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismEndocrine and Autonomic SystemsBehavioral Neuroscience
- Journals
- DiabetologiaLife SciencesBone
In The Last Decade
Jan Kvetny
65 papers receiving 997 citations
Peers
Comparison fields: 5 of 97
- Endocrinology, Diabetes and Metabolism 654
- Molecular Biology 133
- Physiology 111
- Pathology and Forensic Medicine 108
- Endocrine and Autonomic Systems 95
Countries citing papers authored by Jan Kvetny
This map shows the geographic impact of Jan Kvetny's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jan Kvetny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Kvetny more than expected).
Fields of papers citing papers by Jan Kvetny
This network shows the impact of papers produced by Jan Kvetny. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jan Kvetny. The network helps show where Jan Kvetny may publish in the future.
Co-authorship network of co-authors of Jan Kvetny
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Kvetny. A scholar is included among the top collaborators of Jan Kvetny based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jan Kvetny. Jan Kvetny is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 12 | |
| 3 | 30 | |
| 4 | 17 | |
| 5 | 62 | |
| 6 | 4 | |
| 7 | 21 | |
| 8 | 115 | |
| 9 | 30 | |
| 10 | 210 | |
| 11 | 8 | |
| 12 | 43 | |
| 13 | 12 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 4 | |
| 17 | 2 | |
| 18 | 10 | |
| 19 | Nuclear thyroxine binding in human mononuclear blood cells. | 1 |
| 20 | T-lymphocyte determination in tuberculosis. | 5 |
About Jan Kvetny
Jan Kvetny is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience and Physiology, having authored 67 papers that have together received 1.0k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (34 papers), Growth Hormone and Insulin-like Growth Factors (13 papers) and Metabolism, Diabetes, and Cancer (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (654 citations), Endocrine and Autonomic Systems (95 citations) and Behavioral Neuroscience (25 citations). Jan Kvetny has collaborated with scholars based in Denmark and Germany. Frequent co-authors include Jørgen Gram, Else‐Marie Bladbjerg, Christina Ellervik, Louise Hauge Matzen, Palle Pedersen, E. W. Jensen, Jens Faber, Anne Jarløv, Birte Nygaard and Per Bech. Their work appears in journals such as Diabetologia, Life Sciences and Bone.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.